https://insideainews.com/tag/pny/ Illuminating AI's Frontiers: Your Go-To News Destination. Wed, 19 Oct 2022 15:17:13 +0000 en-US hourly 1 https://wordpress.org/?v=6.6.1 https://insideainews.com/wp-content/uploads/2024/06/iain-favicon.png https://insideainews.com/tag/pny/ 32 32 136462205 https://insideainews.com/2022/04/25/nvidia-networking-solutions-unlock-the-full-potential-of-your-data-center/ https://insideainews.com/2022/04/25/nvidia-networking-solutions-unlock-the-full-potential-of-your-data-center/#respond Mon, 25 Apr 2022 13:00:00 +0000 https://insidebigdata.com/?p=29115 [SPONSORED POST] NVIDIA® is the leader in accelerated networking solutions and a pioneer in new advancements such as the Data Processing Unit (DPU) which is why PNY is proud to become an NVIDIA networking product partner carrying and supporting NVIDIA’s entire Ethernet and InfiniBand end-to-end product suites. In this article, we highlight four PNY videos available on our YouTube channel that showcase the benefits of each NVIDIA networking product category.]]> https://insideainews.com/2022/04/25/nvidia-networking-solutions-unlock-the-full-potential-of-your-data-center/feed/ 0 29115 https://insideainews.com/2021/10/13/building-the-gpu-accelerated-datacenter/ https://insideainews.com/2021/10/13/building-the-gpu-accelerated-datacenter/#respond Wed, 13 Oct 2021 13:00:00 +0000 https://insidebigdata.com/?p=27382 [Sponsored Post] To learn about GPU-accelerated datacenters, join the upcoming live webinar from Thinkmate and PNY. You’ll hear about the future of the datacenter, why the GPU is crucial, the technology behind GPU acceleration, and what sort of options exist for different industries or types of organizations.]]> https://insideainews.com/2021/10/13/building-the-gpu-accelerated-datacenter/feed/ 0 27382 https://insideainews.com/2021/03/08/nvidia-a100-a40-and-nvidia-rtx-a6000-ampere-architecture-based-professional-gpus-transform-data-science-and-big-data-analytics/ https://insideainews.com/2021/03/08/nvidia-a100-a40-and-nvidia-rtx-a6000-ampere-architecture-based-professional-gpus-transform-data-science-and-big-data-analytics/#respond Mon, 08 Mar 2021 14:00:00 +0000 https://insidebigdata.com/?p=25701 Scientists, researchers, and engineers are solving the world’s most important scientific, industrial, and big data challenges with AI and high-performance computing (HPC). Businesses, even entire industries, harness the power of AI to extract new insights from massive data sets, both on-premises and in the cloud. NVIDIA Ampere architecture-based products, like the NVIDIA A100 or the NVIDIA RTX A6000, designed for the age of elastic computing, deliver the next giant leap by providing unmatched acceleration at every scale, enabling innovators to push the boundaries of human knowledge and creativity forward.]]> https://insideainews.com/2021/03/08/nvidia-a100-a40-and-nvidia-rtx-a6000-ampere-architecture-based-professional-gpus-transform-data-science-and-big-data-analytics/feed/ 0 25701 https://insideainews.com/white-paper/interview-global-technology-leader-pny/ https://insideainews.com/white-paper/interview-global-technology-leader-pny/#respond Mon, 13 Jul 2020 21:06:35 +0000 https://insidebigdata.com/?post_type=wpdmpro&p=24745 The following whitepaper download is a reprint of the recent interview with our friends over at PNY to discuss a variety of topics affecting data scientists conducting work on big data problem domains including how “Big Data” is becoming increasingly accessible with big clusters with disk-based databases, small clusters with in-memory data, single systems with in-CPU-memory data, and single systems with in-GPU-memory data. Answering our inquiries were: Bojan Tunguz, Senior System Software Engineer, NVIDIA and Carl Flygare, NVIDIA Quadro Product Marketing Manager, PNY.]]> 0 24745 https://insideainews.com/2020/06/08/interview-global-technology-leader-pny/ https://insideainews.com/2020/06/08/interview-global-technology-leader-pny/#respond Mon, 08 Jun 2020 15:00:00 +0000 https://insidebigdata.com/?p=24551 We recently caught up with our friends over at PNY to discuss a variety of topics affecting data scientists conducting work on big data problem domains including how “Big Data” is becoming increasingly accessible with big clusters with disk-based databases, small clusters with in-memory data, single systems with in-CPU-memory data, and single systems with in-GPU-memory data. Answering our inquiries were: Bojan Tunguz, Senior System Software Engineer, NVIDIA and Carl Flygare, NVIDIA Quadro Product Marketing Manager, PNY.]]> https://insideainews.com/2020/06/08/interview-global-technology-leader-pny/feed/ 0 24551